Please find our joint appointments and professorships on our website: Joint appointments / Professorships
Apply now
Master's student (f/m/x) - Hybrid PEM Fuel Cell Aging Model Development
Job Description
Req ID:  5966
Place of work:  Stuttgart
Starting date:  asap
Career level:  Student research project and final thesis, Student employment
Type of employment:  Part time
Duration of contract:  3-4 months

Remuneration: Remuneration is in accordance with the Collective Agreement for the Public Sector - Federal Government (TVöD-Bund)

Enter the fascinating world of the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt e. V.; DLR) and help shape the future through research and innovation! We offer an exciting and inspiring working environment driven by the expertise and curiosity of our 12,000 employees from 100 nations and our unique infrastructure. Together, we develop sustainable technologies and thus contribute to finding solutions to global challenges. Would you like to join us in addressing this major future challenge? Then this is your place!

The Institute of Vehicle Concepts (FK) of the German Aerospace Centre (DLR) is internationally recognized for the design of future road and rail vehicles that enable climate and environmentally friendly mobility while being affordable and user-friendly at the same time.

We research and demonstrate the required key technologies and maintain close cooperation with other scientific institutions as well as industrial and political bodies.

 

What to expect

We are looking for a motivated Master’s student interested in an internship or student assistant position to join our team and support our research on next-generation railway propulsion and energy systems. Our work focuses on developing and analyzing innovative concepts that improve the sustainability, efficiency, and durability of railway propulsion systems using a variety of simulation techniques. As part of the team, you will contribute to improving the understanding of fuel cell aging and support the development of strategies for increasing the lifetime and reliability of fuel cell systems in railway applications.


Your tasks

  • Conduct a literature review on PEM fuel cell degradation mechanisms and aging modeling approaches.
  • Familiarize yourself with our existing physics informed hybrid PEM fuel cell aging modeling framework.
  • Analyze Fuel cell stack measurement data from test vehicle.
  • Calibrate and optimize model parameters using experimental measurement data.
  • Validate model using measurement data from test vehicle.
  • Document and present the methodology and results.

 

Your profile

  • Enrolled in Master’s degree program in computer science, engineering, natural sciences or comparable field of study. 
  • Strong interest in model-based development and simulation.
  • Knowledge in data analysis and machine learning methods.
  • Experience with Python coding. 
  • Good written and spoken English skills.
  • Independent, structured and motivated way of working

 

We offer

DLR stands for diversity, appreciation and equality for all people. We promote independent work and the individual development of our employees both personally and professionally. To this end, we offer numerous training and development opportunities. Equal opportunities are of particular importance to us, which is why we want to increase the proportion of women in science and management in particular. Applicants with severe disabilities will be given preference if they are qualified.

We look forward to getting to know you!

 

If you have any questions about this position (Vacancy-ID 5966) please contact:

 

Mr. Kevin Mullankuzhy 
Tel.: +49 711 6862 8255 
Apply now